Gregory Cooper, MD, PhD

Leveraging eye tracking to prioritize relevant medical record data: Comparative Machine Learning Study

King AJ, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S
Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study
J Med Internet Res 2020;22(4):e15876 

Learning Latent Causal Structures with a Redundant Input Neural Network

Young JD, Andrews B, Cooper GF, Lu X. Learning Latent Causal Structures with a Redundant Input Neural Network. arXiv:2003.13135v1 29 Mar 2020.

 

A Bayesian approach for detecting a disease that is not being modeled

Aronis JM, Ferraro JP, Gesteland PH, Tsui F, Ye Y, Wagner MM, Cooper GF. A Bayesian approach for detecting a disease that is not being modeled. PLOSOne. 2020 Feb 28;15(2):e0229658. doi: 10.1371

Tumor-specific causal inference discovers distinct disease mechanisms underlying cancer subtypes

Xue Y, Cooper GF, Cai C, Lu S, Hu B, Ma X, Lu X. Tumor-specific causal inference discovers distinct disease mechanisms underlying cancer subtypes. Scientific Reports, (2019) doi:10.1038/s41598-019-48318-7

Learning high-dimensional directed acyclic graphs with mixed data-types

Andrews B, Ramsey J, Cooper GF.  Learning high-dimensional directed acyclic graphs with mixed data-types. Proceedings of Machine Learning Research 2019 Aug; 104: 4-21. PMID: 31453569 PMCID: PMC6709674

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference

Cai C, Cooper GF, Lu KN, Ma X, Xu S, Zhao Z, Chen X, Xue Y, Lee AV, Clark N, Chen V, Lu S, Chen L, Hochheiser HS, Jiang X, Wang QJ, Lu X.  Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLoS Computational Biology. Published online July 5, 2019. doi: 10.137/journal,pcbi.1007088.  PMID: 31276486

Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inferenc

Cai C, Cooper GF, Lu KN, Ma X, Xu S, Zhao Z, Chen X, Xue Y, Lee AV, Clark N, Chen V, Lu S, Chen L, Yu L, Hochheiser HS, Jiang X, Wang JQ, Lu X. Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference. PLOS Comput Biol, 2019 Jul 15(7):e1007088. doi: 10.1371/journal.pcbi.1007088. [Epub ahead of print] PMID: 31276486; PMCID: PMC6650088.

Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis

Seymour CW, Kennedy JN, Wang S, Chang CH, Elliott CF, Xu Z, Berry S, Clermont G, Cooper G, Gomez H, Huang DT, Kellum JA, Mi Q, Opal SM, Talisa V, van der Poll T, Visweswaran S, Vodovotz Y, Weiss JC, Yealy DM, Yende S, Angus DC. Derivation, Validation, and Potential Treatment Implications of Novel Clinical Phenotypes for Sepsis. Journal of the American Medical Association ( 2019). doi:10.1001/jama.2019.5791. PMID: 31104070 PMCID: PMC6537818

Using machine learning to selectively highlight patient information

King A, Cooper GF, Clermont G, Hochheiser H, Hauskrecht M, Sittig DF, Visweswaran S. Using machine learning to selectively highlight patient information. Journal of Biomedical Informatics.  2019; Oct 29;100:103327. DOI: 1016/j.jbi.2019.103329. PMID: 31676461; PMCID: PMC6932869 [Available on 2020-12-01].

Instance-Specific Bayesian Network Structure Learning

Jabbari F, Viswewaran S, Cooper GF. Instance-Specific Bayesian Network Structure Learning. Proceedings of the International Conference on Probabilistic Graphical Models (2018) Sep;72:169-180.  PMID: 30775723. PMCID: PMC6376975.

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